Path: Common/Estimation
-------------------------------------------------------------------------- Iterated Extended Kalman Filter measurement update step. All inputs are after the predict state (see KFPredict). Since version 2014.1 -------------------------------------------------------------------------- Form: d = IEKFUpdate( d ) -------------------------------------------------------------------------- ------ Inputs ------ d (1,1) EKF data structure .m (:,1) Mean .p (:,:) Covariance .h (:,n) Either matrix or name of function .hX (1,:) Name of Jacobian for h .nIts (1,1) Number of iterations ------- Outputs ------- d (1,1) EKF data structure .m (:,1) Mean .p (:,:) Covariance .v (m,1) Residuals --------------------------------------------------------------------------
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